메뉴 건너뛰기




Volumn 6857 LNAI, Issue , 2011, Pages 99-106

A double axis classification of interpretability measures for Linguistic Fuzzy Rule-Based Systems

Author keywords

[No Author keywords available]

Indexed keywords

FUZZY RULE-BASED SYSTEMS; INTERPRETABILITY; LINGUISTIC FUZZY RULES; STATE OF THE ART;

EID: 80052718156     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-23713-3_13     Document Type: Conference Paper
Times cited : (4)

References (47)
  • 1
    • 34548206770 scopus 로고    scopus 로고
    • A proposal for the genetic lateral tuning of linguistic fuzzy systems and its interaction with rule selection
    • Alcalá, R., Alcalá-Fdez, J., Herrera, F.: A proposal for the genetic lateral tuning of linguistic fuzzy systems and its interaction with rule selection. IEEE Trans. Fuzzy Syst. 15(4), 616-635 (2007)
    • (2007) IEEE Trans. Fuzzy Syst. , vol.15 , Issue.4 , pp. 616-635
    • Alcalá, R.1    Alcalá-Fdez, J.2    Herrera, F.3
  • 2
    • 33751166396 scopus 로고    scopus 로고
    • Genetic learning of accurate and compact fuzzy rule based systems based on the 2-tuples linguistic representation
    • Alcalá, R., Alcalá-Fdez, J., Herrera, F., Otero, J.: Genetic learning of accurate and compact fuzzy rule based systems based on the 2-tuples linguistic representation. International Journal of Approximate Reasoning 44(1), 45-64 (2007)
    • (2007) International Journal of Approximate Reasoning , vol.44 , Issue.1 , pp. 45-64
    • Alcalá, R.1    Alcalá-Fdez, J.2    Herrera, F.3    Otero, J.4
  • 3
    • 70350057609 scopus 로고    scopus 로고
    • A multi-objective evolutionary approach to concurrently learn rule and data bases of linguistic fuzzy rule-based systems
    • Alcalá, R., Ducange, P., Herrera, F., Lazzerini, B., Marcelloni, F.: A multi-objective evolutionary approach to concurrently learn rule and data bases of linguistic fuzzy rule-based systems. IEEE Transactions on Fuzzy Systems 17(5), 1106-1122 (2009)
    • (2009) IEEE Transactions on Fuzzy Systems , vol.17 , Issue.5 , pp. 1106-1122
    • Alcalá, R.1    Ducange, P.2    Herrera, F.3    Lazzerini, B.4    Marcelloni, F.5
  • 5
    • 77952759182 scopus 로고    scopus 로고
    • Embedding HILK in a three-objective evolutionary algorithm with the aim of modeling highly interpretable fuzzy rule-based classifiers
    • IEEE, Mieres
    • Alonso, J., Magdalena, L., Cordón, O.: Embedding HILK in a three-objective evolutionary algorithm with the aim of modeling highly interpretable fuzzy rule-based classifiers. In: 4th International Workshop on Genetic and Evolving Fuzzy Systems (GEFS 2010), pp. 15-20. IEEE, Mieres (2010)
    • (2010) 4th International Workshop on Genetic and Evolving Fuzzy Systems (GEFS 2010) , pp. 15-20
    • Alonso, J.1    Magdalena, L.2    Cordón, O.3
  • 6
    • 80052682762 scopus 로고    scopus 로고
    • Hilk++: An interpretability-guided fuzzy modeling methodology for learning readable and comprehensible fuzzy rule-based classifiers
    • (in press) doi:10.1007/s00500-010-0628-5
    • Alonso, J.M., Magdalena, L.: Hilk++: an interpretability-guided fuzzy modeling methodology for learning readable and comprehensible fuzzy rule-based classifiers. Soft Computing (2011) (in press) doi:10.1007/s00500-010-0628-5
    • (2011) Soft Computing
    • Alonso, J.M.1    Magdalena, L.2
  • 7
    • 47049121435 scopus 로고    scopus 로고
    • HILK: A new methodology for designing highly interpretable linguistic knowledge bases using the fuzzy logic formalism
    • Alonso, J.M., Magdalena, L., Guillaume, S.: HILK: A new methodology for designing highly interpretable linguistic knowledge bases using the fuzzy logic formalism. International Journal of Intelligent Systems 23(7), 761-794 (2008)
    • (2008) International Journal of Intelligent Systems , vol.23 , Issue.7 , pp. 761-794
    • Alonso, J.M.1    Magdalena, L.2    Guillaume, S.3
  • 9
    • 58049217458 scopus 로고    scopus 로고
    • Context adaptation of fuzzy systems through a multi-objective evolutionary approach based on a novel interpretability index
    • Botta, A., Lazzerini, B., Marcelloni, F., Stefanescu, D.C.: Context adaptation of fuzzy systems through a multi-objective evolutionary approach based on a novel interpretability index. Soft Computing 13(5), 437-449 (2009)
    • (2009) Soft Computing , vol.13 , Issue.5 , pp. 437-449
    • Botta, A.1    Lazzerini, B.2    Marcelloni, F.3    Stefanescu, D.C.4
  • 12
    • 14644430392 scopus 로고    scopus 로고
    • Genetic tuning of fuzzy rule deep structures preserving interpretability and its interaction with fuzzy rule set reduction
    • Casillas, J., Cordón, O., Del Jesus, M.J., Herrera, F.: Genetic tuning of fuzzy rule deep structures preserving interpretability and its interaction with fuzzy rule set reduction. IEEE Trans. Fuzzy Syst. 13(1), 13-29 (2005)
    • (2005) IEEE Trans. Fuzzy Syst. , vol.13 , Issue.1 , pp. 13-29
    • Casillas, J.1    Cordón, O.2    Del Jesus, M.J.3    Herrera, F.4
  • 13
    • 0033894645 scopus 로고    scopus 로고
    • Constraining the optimization of a fuzzy logic controller using an enhanced genetic algorithm
    • Cheong, F., Lai, R.: Constraining the optimization of a fuzzy logic controller using an enhanced genetic algorithm. IEEE Trans. Syst., Man, Cybern. - Part B: Cybernetics 30(1), 31-46 (2000)
    • (2000) IEEE Trans. Syst., Man, Cybern. - Part B: Cybernetics , vol.30 , Issue.1 , pp. 31-46
    • Cheong, F.1    Lai, R.2
  • 14
    • 34249908139 scopus 로고    scopus 로고
    • A pareto-based multi-objective evolutionary approach to the identification of Mamdani fuzzy systems
    • Cococcioni, M., Ducange, P., Lazzerini, B., Marcelloni, F.: A pareto-based multi-objective evolutionary approach to the identification of Mamdani fuzzy systems. Soft Computing 11, 1013-1031 (2007)
    • (2007) Soft Computing , vol.11 , pp. 1013-1031
    • Cococcioni, M.1    Ducange, P.2    Lazzerini, B.3    Marcelloni, F.4
  • 15
    • 0035426308 scopus 로고    scopus 로고
    • A genetic learning process for the scaling factors, granularity and contexts of the fuzzy rule-based system data base
    • Cordón, O., Herrera, F., Magdalena, L., Villar, P.: A genetic learning process for the scaling factors, granularity and contexts of the fuzzy rule-based system data base. Information Science 136, 85-107 (2001)
    • (2001) Information Science , vol.136 , pp. 85-107
    • Cordón, O.1    Herrera, F.2    Magdalena, L.3    Villar, P.4
  • 16
    • 0035415952 scopus 로고    scopus 로고
    • Generating the knowledge base of a fuzzy rule-based system by the genetic learning of data base
    • Cordón, O., Herrera, F., Villar, P.: Generating the knowledge base of a fuzzy rule-based system by the genetic learning of data base. IEEE Transactions on Fuzzy Systems 9(4), 667-674 (2001)
    • (2001) IEEE Transactions on Fuzzy Systems , vol.9 , Issue.4 , pp. 667-674
    • Cordón, O.1    Herrera, F.2    Villar, P.3
  • 17
    • 0034297775 scopus 로고    scopus 로고
    • Constructing fuzzy models with linguistic integrity from numerical data-AFRELI algorithm
    • Espinosa, J., Vandewalle, J.: Constructing fuzzy models with linguistic integrity from numerical data-AFRELI algorithm. IEEE Trans. Fuzzy Syst. 8(5), 591-600 (2000)
    • (2000) IEEE Trans. Fuzzy Syst. , vol.8 , Issue.5 , pp. 591-600
    • Espinosa, J.1    Vandewalle, J.2
  • 18
    • 34548132105 scopus 로고    scopus 로고
    • A multiobjective design of a patient and anaesthetist-friendly neuromuscular blockade controller
    • Fazendeiro, P., De Oliveira, J.V., Pedrycz, W.: A multiobjective design of a patient and anaesthetist-friendly neuromuscular blockade controller. IEEE Trans. on Biomedical Engineering 54(9), 1667-1678 (2007)
    • (2007) IEEE Trans. on Biomedical Engineering , vol.54 , Issue.9 , pp. 1667-1678
    • Fazendeiro, P.1    De Oliveira, J.V.2    Pedrycz, W.3
  • 19
    • 58049200709 scopus 로고    scopus 로고
    • Adaptation and application of multi-objective evolutionary algorithms for rule reduction and parameter tuning of fuzzy rule-based systems
    • Gacto, M.J., Alcalá, R., Herrera, F.: Adaptation and application of multi-objective evolutionary algorithms for rule reduction and parameter tuning of fuzzy rule-based systems. Soft Computing 13(5), 419-436 (2009)
    • (2009) Soft Computing , vol.13 , Issue.5 , pp. 419-436
    • Gacto, M.J.1    Alcalá, R.2    Herrera, F.3
  • 20
    • 77953111519 scopus 로고    scopus 로고
    • Integration of an index to preserve the semantic interpretability in the multi-objective evolutionary rule selection and tuning of linguistic fuzzy systems
    • Gacto, M.J., Alcalá, R., Herrera, F.: Integration of an index to preserve the semantic interpretability in the multi-objective evolutionary rule selection and tuning of linguistic fuzzy systems. IEEE Transactions on Fuzzy Systems 18(3), 515-531 (2010)
    • (2010) IEEE Transactions on Fuzzy Systems , vol.18 , Issue.3 , pp. 515-531
    • Gacto, M.J.1    Alcalá, R.2    Herrera, F.3
  • 21
    • 79960555001 scopus 로고    scopus 로고
    • Interpretability of linguistic fuzzy rule-based systems: An overview of interpretability measures
    • (in press) doi: 10.1016/j.ins.2011.02.021
    • Gacto, M., Alcalá, R., Herrera, F.: Interpretability of linguistic fuzzy rule-based systems: An overview of interpretability measures. Information Sciences (2011) (in press) doi: 10.1016/j.ins.2011.02.021
    • (2011) Information Sciences
    • Gacto, M.1    Alcalá, R.2    Herrera, F.3
  • 22
    • 11144352214 scopus 로고    scopus 로고
    • A new method for inducing a set of interpretable fuzzy partitions and fuzzy inference systems from data
    • Casillas, J., Cordón, O., Herrera, F., Magdalena, L. (eds.) Springer, Heidelberg
    • Guillaume, S., Charnomordic, B.: A new method for inducing a set of interpretable fuzzy partitions and fuzzy inference systems from data. In: Casillas, J., Cordón, O., Herrera, F., Magdalena, L. (eds.) Interpretability issues in fuzzy modeling, pp. 148-175. Springer, Heidelberg (2003)
    • (2003) Interpretability Issues in Fuzzy Modeling , pp. 148-175
    • Guillaume, S.1    Charnomordic, B.2
  • 23
    • 3042547260 scopus 로고    scopus 로고
    • Generating an interpretable family of fuzzy partitions from data
    • Guillaume, S., Charnomordic, B.: Generating an interpretable family of fuzzy partitions from data. IEEE Transactions on Fuzzy Systems 12(3), 324-335 (2004)
    • (2004) IEEE Transactions on Fuzzy Systems , vol.12 , Issue.3 , pp. 324-335
    • Guillaume, S.1    Charnomordic, B.2
  • 24
    • 0000919523 scopus 로고    scopus 로고
    • Single-objective and two-objective genetic algorithms for selecting linguistic rules for pattern classification problems
    • Ishibuchi, H., Murata, T., Türksen, I.B.: Single-objective and two-objective genetic algorithms for selecting linguistic rules for pattern classification problems. Fuzzy Sets and Systems 89(2), 135-150 (1997)
    • (1997) Fuzzy Sets and Systems , vol.89 , Issue.2 , pp. 135-150
    • Ishibuchi, H.1    Murata, T.2    Türksen, I.B.3
  • 25
    • 0035426682 scopus 로고    scopus 로고
    • Three-objective genetics-based machine learning for linguistic rule extraction
    • Ishibuchi, H., Nakashima, T., Murata, T.: Three-objective genetics-based machine learning for linguistic rule extraction. Information Sciences 136, 109-133 (2001)
    • (2001) Information Sciences , vol.136 , pp. 109-133
    • Ishibuchi, H.1    Nakashima, T.2    Murata, T.3
  • 26
    • 33751186914 scopus 로고    scopus 로고
    • Analysis of interpretability-accuracy tradeoff of fuzzy systems by multiobjective fuzzy genetics-based machine learning
    • Ishibuchi, H., Nojima, Y.: Analysis of interpretability-accuracy tradeoff of fuzzy systems by multiobjective fuzzy genetics-based machine learning. International Journal of Approximate Reasoning 44(1), 4-31 (2007)
    • (2007) International Journal of Approximate Reasoning , vol.44 , Issue.1 , pp. 4-31
    • Ishibuchi, H.1    Nojima, Y.2
  • 27
    • 0029359001 scopus 로고
    • Selecting fuzzy if-then rules for classification problems using genetic algorithms
    • Ishibuchi, H., Nozaki, K., Yamamoto, N., Tanaka, H.: Selecting fuzzy if-then rules for classification problems using genetic algorithms. IEEE Trans. Fuzzy Syst. 3(3), 260-270 (1995)
    • (1995) IEEE Trans. Fuzzy Syst. , vol.3 , Issue.3 , pp. 260-270
    • Ishibuchi, H.1    Nozaki, K.2    Yamamoto, N.3    Tanaka, H.4
  • 28
    • 0345412574 scopus 로고    scopus 로고
    • Interpretability issues in fuzzy genetics-based machine learning for linguistic modelling
    • Lawry, J., Shanahan, J.G., Ralescu, A.L. (eds.) Modelling with Words. Springer, Heidelberg
    • Ishibuchi, H., Yamamoto, T.: Interpretability issues in fuzzy genetics-based machine learning for linguistic modelling. In: Lawry, J., Shanahan, J.G., Ralescu, A.L. (eds.) Modelling with Words. LNCS, vol. 2873, pp. 209-228. Springer, Heidelberg (2003)
    • (2003) LNCS , vol.2873 , pp. 209-228
    • Ishibuchi, H.1    Yamamoto, T.2
  • 29
    • 0346781550 scopus 로고    scopus 로고
    • Fuzzy rule selection by multi-objective genetic local search algorithms and rule evaluation measures in data mining
    • Ishibuchi, H., Yamamoto, T.: Fuzzy rule selection by multi-objective genetic local search algorithms and rule evaluation measures in data mining. Fuzzy Sets and Systems 141(1), 59-88 (2004)
    • (2004) Fuzzy Sets and Systems , vol.141 , Issue.1 , pp. 59-88
    • Ishibuchi, H.1    Yamamoto, T.2
  • 31
    • 0033704546 scopus 로고    scopus 로고
    • Fuzzy modeling of high-dimensional systems: Complexity reduction and interpretability improvement
    • Jin, Y.: Fuzzy modeling of high-dimensional systems: Complexity reduction and interpretability improvement. IEEE Transactions on Fuzzy Systems 8(2), 212-221 (2000)
    • (2000) IEEE Transactions on Fuzzy Systems , vol.8 , Issue.2 , pp. 212-221
    • Jin, Y.1
  • 32
    • 34249723182 scopus 로고    scopus 로고
    • A novel generic hebbian ordering-based fuzzy rule base reduction approach to Mamdani neuro-fuzzy system
    • Liu, F., Quek, C., Ng, G.S.: A novel generic hebbian ordering-based fuzzy rule base reduction approach to Mamdani neuro-fuzzy system. Neural Computation 19, 1656-1680 (2007)
    • (2007) Neural Computation , vol.19 , pp. 1656-1680
    • Liu, F.1    Quek, C.2    Ng, G.S.3
  • 33
    • 78549275066 scopus 로고    scopus 로고
    • A multi-objective evolutionary algorithm with an interpretability improvement mechanism for linguistic fuzzy systems with adaptive defuzzification
    • Marquez, A., Márquez, F., Peregrin, A.: A multi-objective evolutionary algorithm with an interpretability improvement mechanism for linguistic fuzzy systems with adaptive defuzzification. In: IEEE World Congress on Computational Intelligence, pp. 277-283 (2010)
    • (2010) IEEE World Congress on Computational Intelligence , pp. 277-283
    • Marquez, A.1    Márquez, F.2    Peregrin, A.3
  • 34
    • 79951943477 scopus 로고    scopus 로고
    • Interpretability assessment of fuzzy knowledge bases: A cointension based approach
    • (in press) doi: 10.1016/j.ijar.2010.11.007
    • Mencar, C., Castiello, C., Cannone, R., Fanelli, A.M.: Interpretability assessment of fuzzy knowledge bases: a cointension based approach. International Journal of Approximate Reasoning (2011) (in press) doi: 10.1016/j.ijar.2010.11. 007
    • (2011) International Journal of Approximate Reasoning
    • Mencar, C.1    Castiello, C.2    Cannone, R.3    Fanelli, A.M.4
  • 35
    • 54049102777 scopus 로고    scopus 로고
    • Interpretability constraints for fuzzy information granulation
    • Mencar, C., Fanelli, A.: Interpretability constraints for fuzzy information granulation. Information Sciences 178(24), 4585-4618 (2008)
    • (2008) Information Sciences , vol.178 , Issue.24 , pp. 4585-4618
    • Mencar, C.1    Fanelli, A.2
  • 37
    • 11244318202 scopus 로고    scopus 로고
    • Interpretability issues in data-based learning of fuzzy systems
    • Mikut, R., Jakel, J., Grall, L.: Interpretability issues in data-based learning of fuzzy systems. Fuzzy Sets and Systems 150, 179-197 (2005)
    • (2005) Fuzzy Sets and Systems , vol.150 , pp. 179-197
    • Mikut, R.1    Jakel, J.2    Grall, L.3
  • 40
    • 0039721726 scopus 로고    scopus 로고
    • Towards neuro-linguistic modeling: Constraints for optimization of membership functions
    • De Oliveira, J.V.: Towards neuro-linguistic modeling: constraints for optimization of membership functions. Fuzzy Sets and Systems 106(3), 357-380 (1999)
    • (1999) Fuzzy Sets and Systems , vol.106 , Issue.3 , pp. 357-380
    • De Oliveira, J.V.1
  • 42
    • 79960554664 scopus 로고    scopus 로고
    • Expressing relevance interpretability and accuracy of rule-based systems
    • Casillas, J., Cordón, O., Herrera, F., Magdalena, L. (eds.) Springer, Heidelberg
    • Pedrycz, W.: Expressing relevance interpretability and accuracy of rule-based systems. In: Casillas, J., Cordón, O., Herrera, F., Magdalena, L. (eds.) Interpretability issues in fuzzy modeling, pp. 546-567. Springer, Heidelberg (2003)
    • (2003) Interpretability Issues in Fuzzy Modeling , pp. 546-567
    • Pedrycz, W.1
  • 44
    • 42649122303 scopus 로고    scopus 로고
    • Fuzzy classifier identification using decision tree and multiobjective evolutionary algorithms
    • Pulkkinen, P., Koivisto, H.: Fuzzy classifier identification using decision tree and multiobjective evolutionary algorithms. International Journal of Approximate Reasoning 48(2), 526-543 (2008)
    • (2008) International Journal of Approximate Reasoning , vol.48 , Issue.2 , pp. 526-543
    • Pulkkinen, P.1    Koivisto, H.2
  • 45
    • 76849113747 scopus 로고    scopus 로고
    • A dynamically constrained multiobjective genetic fuzzy system for regression problems
    • Pulkkinen, P., Koivisto, H.: A dynamically constrained multiobjective genetic fuzzy system for regression problems. IEEE Transactions on Fuzzy Systems 18(1), 161-177 (2010)
    • (2010) IEEE Transactions on Fuzzy Systems , vol.18 , Issue.1 , pp. 161-177
    • Pulkkinen, P.1    Koivisto, H.2
  • 46
    • 0035426528 scopus 로고    scopus 로고
    • Fuzzy modeling using genetic algorithms with fuzzy entropy as conciseness measure
    • Suzuki, T., Kodama, T., Furuhashi, T., Tsutsui, H.: Fuzzy modeling using genetic algorithms with fuzzy entropy as conciseness measure. Information Sciences 136(1-4), 53-67 (2001)
    • (2001) Information Sciences , vol.136 , Issue.1-4 , pp. 53-67
    • Suzuki, T.1    Kodama, T.2    Furuhashi, T.3    Tsutsui, H.4
  • 47
    • 52949088628 scopus 로고    scopus 로고
    • Low-level interpretability and high-level interpretability: A unified view of data-driven interpretable fuzzy system modelling
    • Zhou, S.M., Gan, J.Q.: Low-level interpretability and high-level interpretability: A unified view of data-driven interpretable fuzzy system modelling. Fuzzy Sets and Systems 159(23), 3091-3131 (2008)
    • (2008) Fuzzy Sets and Systems , vol.159 , Issue.23 , pp. 3091-3131
    • Zhou, S.M.1    Gan, J.Q.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.